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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23260
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    Explanations

    references to specific media platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to HBO and related media platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uation
    -0.87
    acle
    -0.85
    ional
    -0.82
    alion
    -0.81
    acular
    -0.79
     quo
    -0.77
    cking
    -0.76
    omaly
    -0.75
    jury
    -0.74
    gling
    -0.73
    POSITIVE LOGITS
     Films
    0.91
    EW
    0.89
    IGHTS
    0.82
    TV
    0.81
     Movies
    0.81
     Wire
    0.81
     HBO
    0.78
     Networks
    0.76
    ®
    0.74
     Studios
    0.73
    Activations Density 0.027%

    No Known Activations